JP6738386B2 - Providing apparatus, providing method, and providing program - Google Patents

Description

The present application relates to a providing device, a providing method, and a providing program.

A technique for optimizing the quality and quantity of electronic advertisements distributed on the Web has been proposed (for example, see Patent Document 1). Also, in the operation of advertisements, the effectiveness of advertisements is measured. Conventionally, as a method for measuring the effect of electronic advertisements, those that use a click through rate (CTR) for display advertisements and text advertisements displayed on websites, etc., conversion rates such as purchases and data requests A device using (CVR: Conversion Rate) is known.

JP, 2010-109865, A

In order to operate advertisement efficiently, it is necessary to provide useful information for planning advertising strategies.

The present application has been made in view of the above, and an object thereof is to provide information useful for planning an advertising strategy.

The providing device according to the present application includes a providing unit that provides the advertiser with a search query that defines targeting conditions set by the advertiser, and a genome contribution rate of the search query.

According to one aspect of the embodiment, it is possible to provide information useful for planning an advertising strategy.

FIG. 1 is an explanatory diagram of a providing method according to an embodiment. FIG. 2 is a diagram illustrating a configuration example of the information providing apparatus according to the embodiment. FIG. 3 is a diagram showing an example of genome contribution rate information according to the embodiment. FIG. 4 is a diagram showing an example of cluster data according to the embodiment. FIG. 5 is a diagram showing an example of a positioning map according to the embodiment. FIG. 6 is a flowchart showing an example of a processing procedure executed by the information providing apparatus according to the embodiment. FIG. 7 is a diagram showing an example of a positioning map according to the modification. FIG. 8 is a hardware configuration diagram illustrating an example of a computer that realizes the functions of the information providing apparatus.

Hereinafter, modes (hereinafter, referred to as “embodiments”) for carrying out a providing apparatus, a providing method, and a providing program according to the present application will be described in detail with reference to the drawings. It should be noted that the providing apparatus, the providing method, and the providing program according to the present application are not limited by the plurality of embodiments described below. Further, the plurality of embodiments described below can be appropriately combined within a range in which the processing content is not inconsistent. In addition, in a plurality of embodiments described below, the same reference numerals are given to the same parts, and duplicate description will be omitted.

[1. Provision method]
FIG. 1 is an explanatory diagram of a providing method according to an embodiment. The providing method according to the embodiment is executed by the information providing device 1 exemplified as one of the providing devices according to the present application. As shown in FIG. 1, the information providing device 1 can communicate with the advertiser device 2 via a communication network such as the Internet. The advertiser device 2 is operated by an advertiser who requests distribution of an advertisement.

In the example shown in FIG. 1, the information providing device 1 includes a search history storage unit and a gene information storage unit. The search history storage unit stores information on the input history of search queries. The gene information storage unit stores the gene analysis information of the user who inputs the search history.

The information providing device 1 calculates genome correlation information indicating the correlation between the search query and the gene information of the user based on the input history of the search query. Then, the information providing apparatus 1 provides the advertiser by transmitting the search query and the genome correlation information corresponding to the search query as the information that can be set as the targeting condition of the advertisement to the advertiser apparatus 2.

The genome correlation information is configured, for example, by correlating the genome contribution rate of the search query for each search query. The genome contribution rate is whether the search query entered on the search site is entered based on the innate factor of the user who entered the search query, or is entered based on the acquired factor. Is an evaluation value for evaluating whether or not A search query having a higher genome contribution rate can be evaluated as having been input based on the innate factor of the user who has input the search query.

The advertiser operating the advertiser apparatus 2 can establish an advertising strategy based on the genome contribution rate by referring to the genome contribution rate of the search query. By selecting a search query having a high genome contribution rate as a targeting condition, the advertiser can expect a high advertising effect at low cost, for example. Alternatively, the advertiser can increase the number of times the advertisement is displayed, dig up potential demand, or aim to secure the first-come-first-served profit in the undeveloped market by selecting a search query with a low genome contribution rate as a targeting condition. You can

[2. Configuration of information providing device]
FIG. 2 is a diagram illustrating a configuration example of the information providing device 1 according to the embodiment. As shown in FIG. 2, the information providing device 1 according to the embodiment is connected to the communication network N.

The advertiser device 2, the advertising device 3, the distribution device 4, and the terminal device 5 are connected to the communication network N. The information providing device 1 can communicate with the advertiser device 2, the advertising device 3, the distribution device 4, and the like via the communication network N. The communication network N is, for example, a LAN (Local Area Network), a WAN (Wide Area Network), a telephone network (a mobile telephone network, a fixed telephone network, etc.), a regional IP (Internet Protocol) network, the Internet, or the like. The connection form of the communication network N may be wireless or wired.

[About Advertiser Device 2]
The advertiser device 2 is, for example, a personal computer or the like having a communication function, and may be any device capable of communicating with the information providing device 1, and may not be the device of the advertiser. The advertiser device 2 can display the positioning map provided by the information providing device 1. The advertiser can refer to the positioning map provided from the information providing device 1, for example, to set the targeting condition when the advertisement content is submitted. The targeting condition set by the advertiser is transmitted from the advertiser device 2 to the advertiser device 3.

The targeting condition is a condition that defines to which user among users who perform a search on a search site, an advertisement is performed, and an advertiser specifies at least a search query. For example, when an advertiser wants to advertise to a user who searches for “supplement” on a search site, the advertiser is associated with “supplement” and “supplement” from the input history of the search query provided from the advertising device 3. You can specify the search query that will be input.

[About advertising device 3]
The advertising device 3 is a content distribution device that distributes the advertising content submitted from the advertiser device 2 according to the targeting conditions set by the advertiser. For example, the advertising device 3 delivers the advertising content to the terminal device 5 when accessed by the terminal device 5.

The advertising device 3 manages the advertising content submitted from the advertiser device 2. The advertising content managed by the advertising device 3 is managed in association with the identification information of the advertiser, the search query, and the like. The search query is set by the advertiser as one of the conditions defining the targeting condition when the advertisement content is submitted. The advertising device 3 can calculate the conversion rate of the advertising content.

[About distribution device 4]
The delivery device 4 is a web server or the like that delivers a web page to the terminal device 5. For example, the distribution device 4 distributes various web pages related to the search site. The distribution device 4 includes an advertisement in the distributed web page. Various web pages regarding an auction site, a weather forecast site, a shopping site, a finance (stock price) site, a route search site, a map providing site, a travel site, a restaurant introduction site, a web blog, etc. may be delivered.

Various web pages distributed by the distribution device 4 are formed by an HTML file described by HTML (HyperText Markup Language), an XML file described by XML (Extensible Markup Language), and the like. The various web pages distributed by the distribution device 4 include control information for controlling the display mode of the web page and the advertising content. This control information is described in an HTML file or the like that forms a web page using a script language such as Java (registered trademark) or CSS (Cascading Style Sheets).

Various web pages distributed by the distribution device 4 include advertisement acquisition commands for various internet advertisements. For example, in an HTML file or the like that forms a web page, the URL of the advertising device 3 is described as an advertisement acquisition command. The terminal device 5 can acquire the advertising content from the advertising device 3 by accessing the URL described in the HTML file or the like. The distribution device 4 can calculate the click rate of the Internet advertisement included in the web page.

[About the terminal device 5]
The terminal device 5 is a device having a communication function and a browser function, such as a personal computer, a smartphone, and a game machine. By operating the terminal device 5, a user of the terminal device 5 (hereinafter referred to as a terminal user) can use the search site distributed by the distribution device 4 via the communication network N. By operating the terminal device 5, the terminal user can acquire the advertising content from the advertising device 3 via the communication network N and can browse the acquired advertising content.

[About information providing device 1]
As described above, the information providing device 1 is a device that provides the advertiser with the search query and the genome correlation information corresponding to the search query as the information that can be set as the targeting condition of the advertisement. Includes a communication unit 11, a storage unit 12, and a control unit 13.

[About communication unit 11]
The communication unit 11 is, for example, an interface such as a NIC (Network Interface Card) that communicates with a device communicatively connected to the communication network N. The control unit 13 transmits/receives various kinds of information to/from the advertiser device 2, the advertising device 3, the distribution device 4, and the like via the communication unit 11.

[About storage unit 12]
The storage unit 12 includes a search history storage unit 21, a gene information storage unit 22, and a genome contribution rate storage unit 23. The storage unit 12 is realized by, for example, a semiconductor memory element such as a RAM (Random Access Memory) or a flash memory (Flash Memory), or a storage device such as a hard disk or an optical disk.

[About the search history storage unit 21]
The search history storage unit 21 stores the input history of the search query input by the user of the terminal device 5 at a search site or the like. The search history information stored in the search history storage unit 21 is acquired from the distribution device 4. The search history information includes the specific information of the user who uses the search site and the input history of the search query input by the user, and these pieces of information are associated with each other.

[About the gene information storage unit 22]
The gene information storage unit 22 stores the gene analysis information of a user who has input a search query on a search site or the like. The gene analysis information is stored in the gene information storage unit 22 in association with the identification information (user ID) of the user who inputs the search query.

[Regarding Genome Contribution Rate Storage Unit 23]
The genome contribution rate storage unit 23 stores information on the genome contribution rate for each product or service. FIG. 3 is a diagram showing an example of genome contribution rate information according to the embodiment. The genome contribution rate information 230 stored in the genome contribution rate storage unit 23 includes names of products and services, search queries, genome contribution rate information, and the like, and these pieces of information are associated with each other. The name of the product or service corresponds to the name of the product or service specified when the advertiser sets the targeting condition. The search query corresponds to a search query that the advertiser can specify when setting the targeting conditions.

The genome contribution rate is calculated by the calculation unit 31 described later. The genome contribution rate evaluates whether the search query input to the search site is linked to the innate factor of the user who input the search query or to the acquired factor. It is an evaluation value. In other words, the genome contribution rate is whether the search query input to the search site is input by a genetic factor of the user who has input the search query, that is, an instinctively rising impulse, or a branding intervention. It functions as information for identifying whether or not the information is input by the preference accumulated afterwards.

In the genome contribution rate information 230 shown in FIG. 3, an example in which normalized information of “high”, “medium”, and “low” is set as the genome contribution rate is shown, but it is not limited to this example. Alternatively, of all users who search for a specific search query, the proportion of users having a specific gene can be set as it is as the genome contribution rate.

[Regarding the control unit 13]
In the control unit 13, various programs (corresponding to an example of the information providing program) stored in the storage device inside the information providing apparatus 1 include a RAM by a CPU (Central Processing Unit), an MPU (Micro Processing Unit), or the like. It is realized by being executed as a work area. Further, the control unit 13 is realized by, for example, an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

The control unit 13 includes a calculation unit 31 and a providing unit 32, and realizes or executes the processing functions and actions of the information providing apparatus 1 described below. Note that the internal configuration of the control unit 13 is not limited to the configuration shown in FIG. 2, and may be another configuration as long as it is a configuration capable of realizing or executing the processing described below.

[About the calculation unit 31]
The calculation unit 31 calculates the genome correlation information indicating the correlation between the search query and the gene information of the user based on the input history of the search query. The calculation unit 31 acquires the search history information stored in the search history storage unit 21 and the gene analysis information stored in the gene information storage unit 22. The calculation unit 31 divides the user ID included in the search history information into a user ID of a user who inputs a specific search query and a user ID of a user who has not searched. The calculation unit 31 compares the gene analysis information associated with the user ID of the user who has input the specific search query with the gene analysis information associated with the user ID of the user who has not input the specific search query. The calculation unit 31 is not included in the gene analysis information associated with the user ID of the user who has input the specific search query, and is not included in the gene analysis information associated with the user ID of the user who has not input the specific search query. By detecting a genetic characteristic such as containing a specific gene, the genome contribution rate (see FIG. 3) for each specific search query can be calculated. The genome contribution rate functions as genome correlation information indicating the correlation between the search query and the gene information of the user.

For example, the calculation unit 31 determines that “safety” input as a search query is “safety” on the search site, when the ratio of users having a specific gene accounts for “safety” exceeds the first threshold. It can be judged that the correlation with the genetic factors is high. Then, the calculation unit 31 sets “high” as the genome contribution rate of “safety” which is the search query.

Further, the calculation unit 31 inputs a search query when the ratio of users having a specific gene among all users searched for “maker” is less than a second threshold value that is smaller than the first threshold value. It can be judged that the “maker” has a low correlation with genetic factors. Then, the calculation unit 31 sets “low” as the genome contribution rate of “maker” which is the search query.

In addition, when the ratio of the user having the specific gene among all the users searched for “component” is equal to or more than the second threshold and less than the first threshold, the calculation unit 31 searches for the query. It can be judged that the "component" input as is moderately correlated with the genetic factor. Then, the calculation unit 31 sets “medium” as the genome contribution rate of the “component” that is the search query.

Note that the calculation unit 31 does not have to be particularly limited to an example of calculating the normalized information such as “high”, “medium”, and “low” as the genome contribution rate, and searches for a specific search query. Of all the users who do, the proportion of users having a specific gene may be calculated as it is as the genome contribution rate. The genome contribution rate calculated by the calculation unit 31 is stored in the genome contribution rate storage unit 23 in association with the search query.

[About the providing unit 32]
The providing unit 32 provides the advertiser with the search query and the genome correlation information corresponding to the search query as the information that can be set as the targeting condition of the advertisement. The providing unit 32 creates a positioning map that visualizes the correlation between the search query and the genome correlation information, and provides the positioning map to the advertiser.

First, the providing unit 32 creates cluster data in which a plurality of search queries included in the search history information are grouped based on co-occurrence between search queries. In addition, the providing unit 32 may include information indicating the relationship between the search queries having the co-occurrence rate exceeding a certain reference when creating the cluster data. Specifically, the providing unit 32 aggregates the search queries included in the search history information for each co-occurring search query and divides the search query into a plurality of clusters. At this time, the providing unit 32 connects the search queries having the co-occurrence rate exceeding a certain standard with a link for each of the plurality of clusters.

FIG. 4 is a diagram showing an example of cluster data according to the embodiment. The cluster data D1 illustrated in FIG. 4 includes a plurality of clusters C1 to C5 in which a plurality of search queries related to a specific product are grouped based on co-occurrence. Specific products are specified by the advertiser.

The cluster C1 includes a total of four search queries “safety”, “natural”, “ingredient”, and “manufacturer” that are aggregated based on co-occurrence. That is, each search query included in the cluster C1 is aggregated based on the co-occurrence that the search is performed (co-occurred) together with at least one of the other search queries included in the cluster C1. It is a thing. The cluster C2 includes a total of eight search queries of “knee”, “joint”, “pain”, “pain”, “cause”, “deformation”, “surgery”, and “artificial”. The cluster C3 includes a total of three search queries of “video”, “stretch”, and “gymnastic”. The cluster C4 includes a total of seven of “supplement”, “ranking”, “medicine”, “working”, “food”, “good”, and “shoes”. Cluster C5 includes a total of four search queries that are co-occurring search queries: "hyaluron," "acid," "effect," and "injection." The search queries included in the cluster C2 are aggregated into the search queries included in the cluster C2, the search queries included in the cluster C3, the search queries included in the cluster C4, and the search queries included in the cluster C5. It is summarized by the same criteria as the established criteria.

In each of the plurality of clusters C1 to C5, search queries whose co-occurrence rate exceeds a certain standard are connected by a link. For example, in the cluster C1, "safety", "ingredient" and "maker" are mutually connected by a link, and "natural" and "maker" are connected by a link. That is, by the link connecting the search queries included in the cluster C1, the co-occurrence rate between "safety" and "component", the co-occurrence rate between "component" and "maker", and "maker" The relationship between the search queries that the co-occurrence rate between “safety” and the co-occurrence rate between “natural” and “maker” exceeds a certain standard is shown. Similarly, for the other clusters C2 to C5, the link connecting the search queries indicates the relationship between the search queries that the co-occurrence rate exceeds a certain standard.

The providing unit 32 creates a positioning map in which the display position of the search query included in the cluster data D1 is determined according to the genome contribution rate. FIG. 5 is a diagram showing an example of a positioning map according to the embodiment. The positioning map M1 shown in FIG. 5 is an example of a positioning map created based on the cluster data D1 shown in FIG. The positioning map M1 shown in FIG. 5 has a plurality of concentric circular areas A1, A2, A3. The circular area A1 located on the innermost side in the positioning map M1 is an area for displaying a search query having a genome contribution rate of “high”. The circular area A2 adjacent to the outer side of the circular area A1 is an area for displaying a search query having a genome contribution rate of “medium”. A circular area A3 adjacent to the outer side of the circular area A2 is an area for displaying a search query having a genome contribution rate of “low”.

The positioning map M1 shown in FIG. 5 indicates that the search query displayed in the center of the map has a higher genome contribution rate. For example, if the search queries included in the cluster C1 have a "high" genome contribution rate for "natural" and "safety", and the search query included in the cluster C1 has a "medium" genome contribution rate. Yes, it is indicated that the genome contribution rate of “manufacturer”, which is the search query included in the cluster C1, is “low”, and the degree of the genome contribution rate of the search query for a certain specific product is visualized.

Further, in the positioning map M1 shown in FIG. 5, links are also displayed between search words whose co-occurrence rate exceeds a certain standard. For example, the co-occurrence rate between the "safety" of a search query with a high genome contribution rate and the "manufacturer" of a search query with a low genome contribution rate exceeds a certain standard. Is shown. As described above, according to the positioning map M1 shown in FIG. 5, the relationship between the search queries whose co-occurrence rate exceeds a certain standard is visualized together with the genome contribution rate.

The providing unit 32 provides the created positioning map to the advertiser by transmitting it to the advertiser apparatus 2 via the communication unit 11. By referring to the positioning map provided by the information providing device 1, the advertiser can formulate an advertising strategy regarding a product to be advertised while considering the genome contribution rate of the search query.

[3. Processing procedure]
An example of a procedure of processing by the information providing device 1 according to the embodiment will be described with reference to FIG. FIG. 6 is a flowchart showing an example of a processing procedure executed by the information providing device 1 according to the embodiment.

As illustrated in FIG. 6, the providing unit 32 creates cluster data in which the co-occurring search queries are networked for the plurality of search queries included in the search history information (step S101).

Subsequently, the providing unit 32 creates a positioning map in which the display position of the search query included in the cluster data is determined according to the genome contribution rate (step S102).

Subsequently, the providing unit 32 provides the positioning map to the advertiser (step S103), and ends the processing illustrated in FIG.

[4. Modification]
The information providing device 1 described above may be implemented in various different forms other than the above-described embodiments. Hereinafter, another embodiment of the information providing device 1 will be described.

[4-1. Positioning map display mode]
In the above-described embodiment, the information providing apparatus 1 acquires the information on the result of the advertisement effect measurement such as the click rate and the conversion rate from the advertising apparatus 3 and the distribution apparatus 4, and reflects the information on the positioning map provided to the advertiser. Good. FIG. 7 is a diagram showing an example of a positioning map according to the modification. As shown in FIG. 7, the information providing apparatus 1 sets the display mode of the search queries “safety”, “ingredient”, “knee”, and “painful” with high click rates and conversion rates to other search queries. It can be changed to a different mode. Further, like the difference in the display mode between the search query “safety” and the search query “component” shown in FIG. 7, for example, the higher the click rate or the conversion rate is, the higher the click rate or the conversion rate is. The display mode can be changed accordingly. The display mode may be changed by an arbitrary method such as a figure, a symbol, or a display color.

[4-2. Search query for calculating genome correlation information]
The search query used when the information providing apparatus 1 calculates the genome correlation information (correspondence between the search query and the genome contribution rate) does not need to be the search query itself input to the search site or the like. For example, search queries such as “lemon” and “Remon” that use different characters but indicate the same thing may be collected as one search query to calculate the genome correlation information. In addition, search queries such as “snow crab”, “Echizen crab”, and “Matsuba crab” that refer to the same thing but have different notations may be collected as one search query to calculate genome correlation information. The information providing device 1 can also calculate the genome correlation information by using a search query meaning a similar object as one search query.

[4-3. Device configuration]
Further, in the above-described embodiment, an example in which the information providing device 1, the advertising device 3, and the distribution device 4 are separate devices has been described, but the information providing device 1, the advertising device 3, and the distribution device 4 are It may be formed as one device. In this case, the information providing device 1 includes the processing function of the advertising device 3 and the processing function of the distribution device 4.

The above-described embodiments and modified examples can be appropriately combined within a range in which the processing contents do not contradict each other.

[4-4. Hardware configuration]
The information providing apparatus 1 according to the above-described embodiment and modification is realized by, for example, a computer 1000 having a configuration shown in FIG. Hereinafter, the information providing device 1 will be described as an example.

FIG. 8 is a hardware configuration diagram illustrating an example of a computer 1000 that realizes the functions of the information providing device 1. The computer 1000 has a CPU 1100, a RAM 1200, a ROM 1300, an HDD 1400, a communication interface (I/F) 1500, an input/output interface (I/F) 1600, and a media interface (I/F) 1700.

The CPU 1100 operates based on a program stored in the ROM 1300 or the HDD 1400, and controls each unit. The ROM 1300 stores a boot program executed by the CPU 1100 when the computer 1000 starts up, a program dependent on the hardware of the computer 1000, and the like.

The HDD 1400 stores programs executed by the CPU 1100, data used by the programs, and the like. The communication interface 1500 receives data from another device via the communication network N, sends the data to the CPU 1100, and transmits the data generated by the CPU 1100 to the other device via the communication network N.

The CPU 1100 controls output devices such as a display and a printer and input devices such as a keyboard and a mouse via the input/output interface 1600. The CPU 1100 acquires data from the input device via the input/output interface 1600. The CPU 1100 also outputs the data generated via the input/output interface 1600 to the output device.

The media interface 1700 reads a program or data stored in the recording medium 1800 and provides the program or data to the CPU 1100 via the RAM 1200. The CPU 1100 loads the program from the recording medium 1800 onto the RAM 1200 via the media interface 1700, and executes the loaded program. The recording medium 1800 is, for example, an optical recording medium such as a DVD (Digital Versatile Disc) and a PD (Phase change rewritable Disk), a magneto-optical recording medium such as an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. Etc.

For example, when the computer 1000 functions as the terminal device 100 according to the embodiment, the CPU 1100 of the computer 1000 executes the program loaded on the RAM 1200 to execute the calculation unit 31 and the provision unit 32 included in the control unit 13. Realize the function. Further, the HDD 1400 stores the same data as the information stored in the storage unit 12. The CPU 1100 of the computer 1000 reads these programs from the recording medium 1800 and executes them, but as another example, these programs may be acquired from another device via the communication network N.

The computer 1000 may execute processing by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array) instead of the CPU 1100.

[5. Other]
In the above-described embodiment, the information providing apparatus 1 has described an example in which, as the information that can be set as the targeting condition of the advertisement, a positioning map indicating the correlation between the search query and the genome correlation information is created and provided to the advertiser. .. However, the information providing apparatus 1 is not limited to this example, and may provide the genome contribution rate corresponding to the search query to the advertiser as a numerical value.

[6. effect]
As described above, the information providing device 1 (an example of a providing device) according to the embodiment includes the calculation unit 31 and the providing unit 32. The calculation unit 31 calculates the genome correlation information indicating the correlation between the search query and the gene information of the user based on the input history of the search query. The providing unit 32 provides the advertiser with the search query and the genome correlation information corresponding to the search query as the information that can be set as the targeting condition of the advertisement. As a result, the information providing device 1 can provide information useful for planning an advertising strategy.

Further, the calculation unit 31 calculates the genome correlation information based on the gene information of the user who inputs the search query. Thereby, it is possible to calculate whether or not the input of the search query is performed by the innate factor of the user who inputs the search query.

Further, the providing unit 32 creates a positioning map showing the relationship between the search query and the genome correlation information, and provides the positioning map to the advertiser. Thereby, the information providing device 1 can provide the advertiser with the degree of genome contribution rate of the search query visualized.

Further, the providing unit 32 creates a positioning map including information indicating the relationship between the search queries whose co-occurrence rate exceeds a certain standard. As a result, it is possible to provide the advertiser with the degree of the genome contribution rate of the search query and the relationship between the search queries in which the co-occurrence rate exceeds a certain reference level being visualized.

1 information providing device 2 advertiser device 3 advertising device 4 distribution device 5 terminal device 11 communication unit 12 storage unit 13 control unit 21 search history storage unit 22 gene information storage unit 23 genome contribution rate storage unit 31 calculation unit 32 provision unit

Claims (5)

Based on the input history of the search query input by the user and the gene information of the user who has input the search query, the gene information of the user who has input the specific search query and the user who has not input the specific search query By comparing the search query and the gene information of the user by detecting the genetic characteristics contained in the gene information of the user who has input the specific search query. A calculation unit that calculates a genome contribution rate for each of the search queries as correlation information,
As information that can be set as targeting criteria in the ad, before the Kige genomic correlation information, advertisers provide characterized in that it comprises a providing unit for providing device. The providing unit is
Creating a positioning map showing the correlation between the search query and the genome correlation information,
The providing device according to claim 1, wherein the advertiser is provided with the positioning map. A calculation unit that calculates genome correlation information indicating the correlation between the search query and the gene information of the user, based on the input history of the search query,
As the information that can be set as the targeting condition of the advertisement, the search query and a providing unit that creates a positioning map showing the correlation between the genome correlation information corresponding to the search query, and provides the positioning map to the advertiser.
Equipped with
The providing unit is
Co-occurrence rate you characterized in that to create the positioning map including information indicating the relationships between search queries that exceed certain standards provide apparatus. A provision method executed by a computer,
Based on the input history of the search query input by the user and the gene information of the user who has input the search query, the gene information of the user who has input the specific search query and the user who has not input the specific search query By comparing the search query and the gene information of the user by detecting the genetic characteristics contained in the gene information of the user who has input the specific search query. Calculating a genome contribution rate for each of the search queries as correlation information,
As information that can be configured as targeting criteria for advertisement, provide a method of front Kige genomic correlation information, and wherein the advertisers step and including things to provide. On the computer,
Based on the input history of the search query input by the user and the gene information of the user who has input the search query, the gene information of the user who has input the specific search query and the user who has not input the specific search query By comparing the search query and the gene information of the user by detecting the genetic characteristics contained in the gene information of the user who has input the specific search query. Calculating a genome contribution rate for each of the search queries as correlation information,
As information settable as targeting criteria for the line, the pre Kige genomic correlation information, advertisers providing program for executing the steps of providing.

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